AI use-case & dependency inventory
A scoped inventory of proposed and existing AI uses, business owners, affected users, data, vendors, deployment status, and dependencies. Gaps and unconfirmed uses remain visible.
Practical oversight for responsible AI adoption
Move AI forward.
Keep accountability clear.
Bring structure to AI decisions before informal experimentation becomes an operating risk. Review how AI is used, establish who decides, and put an evidence-based approval and oversight process in place.
Discuss your needs ↗Who it’s for
Executives, CIOs, risk leaders & consulting partners
Engagement format
Typically 2–3 weeks for a bounded assessment
What you leave with
Readiness findings and a 90-day governance action plan
When to bring us in
AI adoption is moving faster than the organization’s oversight.
- Staff are using AI tools without a consistent intake or approval process.
- Leadership needs to understand the risks in a proposed AI procurement.
- A team is preparing to move from experimentation to operational use.
- A consulting partner needs governance support alongside technical delivery.
What you receive
Defined outputs.
Usable decisions.
Responsibilities made explicit, evidence connected to decisions, and work shaped around your operating needs.
Readiness findings & risk priorities
An evidence-based review of accountability, data handling, human oversight, evaluation, monitoring, and incident response. Findings reference relevant NIST AI RMF outcomes and identify the highest-priority actions.
Decision rights & approval workflow
A practical responsibility matrix defining who proposes, reviews, approves, monitors, and can pause a use case. Specify required evidence, escalation paths, and review triggers.
Risk & controls register
Document the risk, proposed safeguard, owner, supporting evidence, and residual questions. Keep proposed controls distinct from controls demonstrated to be operating.
90-day action plan & executive briefing
A prioritized implementation roadmap with owners, milestones, dependencies, and management decisions. The briefing connects the governance gaps to business impact.
How the pieces connect
AI oversight continues
beyond the launch.
Explore a practical lifecycle. The engagement defines the applicable roles, evidence, and review gates for your use case.
What decision or task should AI improve?
A bounded use case, intended users, affected people, and a measurable business outcome.Monitor continuously. Revisit earlier stages as evidence changes.
COGNV’s illustrative engagement model. Actual roles and gates are tailored to the organization.
Illustrative scenario · not a client case study
The situation
A consulting firm wants staff to use an AI assistant to summarize client documents.
The work
Map the document types and data restrictions, identify who may use the tool, define human review, and establish evaluation and escalation requirements.
The intended output
A documented decision on the permitted scope, approval conditions, responsible owners, and evidence needed before broader use.
To make the work effective
What we need
from your team.
- An executive sponsor and access to business, technology, risk, and data owners.
- A bounded list of use cases, tools, vendors, and relevant existing policies.
- Available evaluation records, approval documentation, and incident or monitoring information.
Scope & assumptions
Agree the boundaries first.
The assessment provides advisory findings and governance design. Model validation, penetration testing, legal opinions, certification, and production engineering require separately agreed specialist work. Missing evidence is recorded as a gap, not treated as a pass.
After the initial engagement
Support that carries the plan forward.
Support implementation of the intake and approval process, prepare governance meeting materials, track actions, and conduct periodic reassessments. Cadence, responsibilities, and capacity are agreed separately.
Before we begin
Questions, answered.
Which framework informs the work?
NIST AI RMF 1.0 provides a voluntary reference for governance, context, risk assessment, and management. Relevant generative AI guidance can inform the scope. The engagement is tailored to your organization and does not certify compliance.
Can we start with one use case?
Yes. A bounded review can establish a usable process before expanding to a wider portfolio. Inventory size, stakeholder access, and review depth are agreed in advance.
What if we do not yet have an AI policy?
The assessment identifies the decisions and operating responsibilities a policy must support. Follow-on work can develop the policy and rollout process rather than leaving a document without implementation.
A clear next step
Let’s put the right
problem on the table.
Discuss AI governance, an implementation idea, program recovery, a fractional executive mandate, board advisory, or a board appointment opportunity. Start with a 30-minute conversation to establish fit.
Request a conversation [email protected]+1 202 758 8900
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